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A comparison of the COG and MCNP codes in computational neutron capture therapy modeling, Part II: gadolinium neutron
K Wangerin1, C N Culbertson, T Jevremovic
1Laboratory for Neutronics and Geometry Computation, NEGE, School of Nuclear Engineering, Purdue University, West Lafayette, IN 47907, USA.
Abstract:
The goal of this study was to evaluate the COG Monte Carlo radiation transport code, developed and tested by Lawrence Livermore National Laboratory, for gadolinium neutron capture therapy (GdNCT) related modeling. The validity of COG NCT model has been established for this model, and here the calculation was extended to analyze the effect of various gadolinium concentrations on dose distribution and cell-kill effect of the GdNCT modality and to determine the optimum therapeutic conditions for treating brain cancers. The computational results were compared with the widely used MCNP code. The differences between the COG and MCNP predictions were generally small and suggest that the COG code can be applied to similar research problems in NCT. Results for this study also showed that a concentration of 100 ppm gadolinium in the tumor was most beneficial when using an epithermal neutron beam.
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